Nicole Saulnier

Orcid: 0000-0002-6886-5946

According to our database1, Nicole Saulnier authored at least 13 papers between 2011 and 2023.

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Bibliography

2023
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error.
IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

An analog-AI chip for energy-efficient speech recognition and transcription.
Nat., 2023

Gradient descent-based programming of analog in-memory computing cores.
CoRR, 2023

Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited).
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited).
Proceedings of the IEEE International Reliability Physics Symposium, 2023

2022
HERMES-Core - A 1.59-TOPS/mm<sup>2</sup> PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs.
IEEE J. Solid State Circuits, 2022

A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference.
CoRR, 2022

Impact of Phase-Change Memory Flicker Noise and Weight Drift on Analog Hardware Inference for Large-Scale Deep Learning Networks.
Adv. Intell. Syst., 2022

In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory.
Proceedings of the 48th IEEE European Solid State Circuits Conference, 2022

2021
Measurement of onset of structural relaxation in melt-quenched phase change materials.
CoRR, 2021

HERMES Core - A 14nm CMOS and PCM-based In-Memory Compute Core using an array of 300ps/LSB Linearized CCO-based ADCs and local digital processing.
Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021


2011
Computational Modeling of Photonic Crystal Microcavity Single-Photon Emitters.
PhD thesis, 2011


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